CN115439437B - Printing and dyeing equipment production data monitoring and analyzing system based on Internet of things - Google Patents

Printing and dyeing equipment production data monitoring and analyzing system based on Internet of things Download PDF

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CN115439437B
CN115439437B CN202211062818.7A CN202211062818A CN115439437B CN 115439437 B CN115439437 B CN 115439437B CN 202211062818 A CN202211062818 A CN 202211062818A CN 115439437 B CN115439437 B CN 115439437B
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章天寅
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Shaoxing Yongtong Printing Co ltd
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Abstract

The invention discloses a printing and dyeing equipment production data monitoring and analyzing system based on the Internet of things, which monitors color parameters of each textile printing and dyeing sample corresponding to each surface subarea in the printing and dyeing process of target printing and dyeing equipment by acquiring each textile printing and dyeing sample, analyzes the corresponding color difference proportion coefficient of each textile printing and dyeing sample, so as to realize multi-dimensional comparison and assessment of the textile fabric printing and dyeing color difference, improve the assessment accuracy and reliability of the textile fabric printing and dyeing color difference, and simultaneously combine the color fastness grade of each textile printing and dyeing sample to accord with the proportion coefficient, analyze the printing and dyeing production quality coefficient of each textile printing and dyeing sample, thereby reducing the analysis error of the printing and dyeing quality of the later textile fabric, ensuring the textile printing and dyeing quality to accord with the production standard, evaluating the production qualification rate of the target printing and dyeing equipment, and carrying out corresponding regulation and control treatment after comparison and analysis, further reducing the production defective rate of the later printing and dyeing equipment and guaranteeing the production economic benefit of a printing and dyeing enterprise.

Description

Printing and dyeing equipment production data monitoring and analyzing system based on Internet of things
Technical Field
The invention relates to the technical field of equipment production data monitoring, in particular to a printing and dyeing equipment production data monitoring analysis system based on the Internet of things.
Background
With the advent of the mechanical age, the printing and dyeing technology has changed greatly, and the printing and dyeing equipment is used for textile printing and dyeing, so that the textile printing and dyeing cost is greatly reduced, and the textile printing and dyeing efficiency and quality are improved. However, the printing and dyeing equipment is easy to cause problems in the printing and dyeing process, so that the quality of the textile printing and dyeing is not up to standard. Therefore, how to effectively monitor and analyze the production data of the printing and dyeing equipment becomes a new target pursued by printing and dyeing enterprises.
In the process of textile printing and dyeing, the existing printing and dyeing equipment basically needs to print the textile fabric with set length before monitoring whether the quality of textile printing and dyeing meets the requirement, so that the waste of the textile fabric is easily caused, the printing and dyeing production cost of the printing and dyeing equipment is increased, hysteresis exists in the monitoring of the quality of the textile fabric, timely regulation and control treatment on the printing and dyeing equipment according to the monitoring result cannot be realized, and the production defective rate of the later-stage printing and dyeing equipment is further increased;
the existing method for monitoring the production data of the printing and dyeing equipment mainly monitors the printing and dyeing color difference of the textile fabric by naked eyes of workers, has great defects in the process of monitoring the printing and dyeing of the textile fabric by human eyes, and can not realize multi-dimensional comparison and evaluation of the printing and dyeing color difference of the textile fabric due to certain subjectivity and limitation in the process of monitoring by naked eyes, so that the evaluation accuracy and reliability of the printing and dyeing color difference of the textile fabric are reduced, the problem of overlarge printing and dyeing color difference of the textile fabric in the same production batch exists, and the printing and dyeing quality of the textile fabric of the printing and dyeing equipment is further reduced;
the existing production data monitoring mode of the printing and dyeing equipment can not monitor the intrinsic parameters of the textile fabric manually, and further the intrinsic printing and dyeing quality influence of the textile fabric can not be accurately analyzed, so that the printing and dyeing quality monitoring result of the textile fabric has errors, the printing and dyeing quality of the textile fabric does not meet the production standard, and the production economic benefit of printing and dyeing enterprises is further influenced.
Disclosure of Invention
In view of this, in order to solve the problems set forth in the background art, a system for monitoring and analyzing production data of printing and dyeing equipment based on the internet of things is provided.
In order to achieve the above purpose, the invention provides a printing and dyeing equipment production data monitoring and analyzing system based on the internet of things, comprising:
the system comprises a textile printing and dyeing sample acquisition module, a printing and dyeing sample analysis module and a printing and dyeing sample analysis module, wherein the textile printing and dyeing sample acquisition module is used for acquiring each textile printing and dyeing sample of target printing and dyeing equipment in the printing and dyeing process, and sequentially numbering each textile printing and dyeing sample according to a set sequence to be 1, 2.
The sample color parameter monitoring module is used for dividing each textile printing and dyeing sample into each surface subarea according to an equal area dividing mode and monitoring color parameters of each textile printing and dyeing sample corresponding to each surface subarea, wherein each surface subarea comprises a front subarea and a back subarea;
the sample color difference proportional coefficient analysis module is used for analyzing color parameters of the textile printing and dyeing samples corresponding to the surface subareas and analyzing color difference proportional coefficients of the textile printing and dyeing samples;
the color fastness testing module is used for carrying out washing fastness testing, rubbing fastness testing and light fastness testing on each textile printing and dyeing sample to obtain washing fastness grade, rubbing fastness grade and light fastness grade of each textile printing and dyeing sample;
the textile printing and dyeing sample color fastness analysis module is used for evaluating the color fastness grade of each textile printing and dyeing sample to accord with the proportionality coefficient according to the washing fastness grade, the friction fastness grade and the light fastness grade of each textile printing and dyeing sample;
the printing and dyeing equipment production qualification rate evaluation module is used for analyzing the printing and dyeing production quality coefficient of each textile printing and dyeing sample, screening the number of qualified textile printing and dyeing samples corresponding to the target printing and dyeing equipment, evaluating the production qualification rate of the target printing and dyeing equipment, and carrying out corresponding regulation and control treatment after comparison and analysis;
the textile printing and dyeing data storage library is used for storing the set brightness, the set hue and the set chroma of the standard textile printing and dyeing samples corresponding to the front subarea and the back subarea and storing the set washing fastness level, the set rubbing fastness level and the set light fastness level corresponding to the standard textile printing and dyeing samples.
Preferably, the specific monitoring mode corresponding to the sample color parameter monitoring module is as follows:
dividing the front surface area of each textile printing and dyeing sample into front surface subareas according to an equal area dividing mode, numbering each front surface subarea corresponding to each textile printing and dyeing sample in sequence according to an s-shaped arrangement sequence, dividing the back surface area of each textile printing and dyeing sample into back surface subareas, and the numbers of the back surface subareas and the front surface subareas are in one-to-one correspondence;
monitoring the central point positions of the front subregions corresponding to the textile printing and dyeing samples respectively through a color difference meter to obtain the color parameters of the front subregions corresponding to the textile printing and dyeing samples, extracting the brightness, hue and chroma in the color parameters of the front subregions corresponding to the textile printing and dyeing samples, and dividing the brightness, hue and chromaMarked as L ij 、h ij 、c ij Where i=1, 2,..n, i is the number of the i-th textile print sample, j=1, 2,..m, j is the number of the j-th frontal sub-area;
and in the same way, the brightness, hue and chroma in the color parameters corresponding to the back sub-areas of each textile printing and dyeing sample are obtained through monitoring, and are respectively marked as L' ij 、h′ ij 、c′ ij
Preferably, the sample color difference proportionality coefficient analysis module analyzes color parameters of each textile printing and dyeing sample corresponding to each surface subarea, and specifically includes:
extracting the set brightness, the set hue and the set chroma of the standard textile printing and dyeing samples corresponding to each front sub-area and each back sub-area stored in the textile printing and dyeing data storage library, and analyzing the color difference deviation indexes of the standard textile printing and dyeing samples and the corresponding front sub-areas of the textile printing and dyeing samples
Figure BDA0003826965540000041
Wherein mu is expressed as a preset textile color difference compensation factor, L j mark 、h j mark 、c j mark Respectively expressed as the set brightness, the set hue and the set chroma, sigma of the j-th front subarea corresponding to the standard textile printing and dyeing sample L 、σ c 、σ h Representing the deviation positive weight coefficient delta E corresponding to preset brightness, chroma and hue 1 allow The allowable color difference deviation value is expressed as a preset textile printing and dyeing sample and a standard textile printing and dyeing sample; and in the same way, analyzing to obtain a color difference deviation index E 'of each textile printing and dyeing sample corresponding to each reverse side sub-region and the standard textile printing and dyeing sample' ij b 1
Comparing the color parameters of the front subareas corresponding to the textile printing and dyeing samples with the color parameters of the adjacent front subareas corresponding to the front subareas, and analyzing the color difference deviation index E of the front subareas corresponding to the textile printing and dyeing samples and the adjacent front subareas corresponding to the front subareas ij a 2 And (3) analyzing to obtain each reverse side sub-region corresponding to each textile printing and dyeing sample and each adjacent reverse side sub-region corresponding to each reverse side sub-region, wherein j=2, 3Color difference deviation index E 'of domain' ij b 2
Comparing the color parameters of each front sub-area corresponding to each textile printing and dyeing sample with the color parameters of each corresponding back sub-area, analyzing to obtain the color difference deviation index of each front sub-area corresponding to each textile printing and dyeing sample and the corresponding back sub-area, and marking the color difference deviation index as E' ij
Preferably, the sample color difference proportional coefficient analysis module is configured to analyze the color difference proportional coefficient corresponding to each textile printing and dyeing sample in the following manner:
according to the color difference proportionality coefficient analysis formula
Figure BDA0003826965540000051
Obtaining the color difference proportional coefficient zeta corresponding to each textile printing and dyeing sample i Wherein alpha, beta and χ are respectively expressed as a set textile positive chromatic aberration correction influence factor, a textile negative chromatic aberration correction influence factor and a textile positive and negative chromatic aberration correction influence factor, m is expressed as the number of positive subareas and epsilon 1 、ε 2 Respectively expressed as a preset weight index of influence of color difference deviation of a textile printing sample and a standard textile printing sample, a weight index of influence of color difference deviation of a textile printing sample area and an adjacent textile printing sample area, and epsilon 12 =1。
Preferably, the specific test mode corresponding to the textile printing and dyeing sample color fastness test module is as follows:
cutting each textile printing and dyeing sample into each test sub-sample according to the same area, and trisecting each test sub-sample corresponding to each textile printing and dyeing sample according to the number, and respectively marking the test sub-sample as each first test sub-sample, each second test sub-sample and each third test sub-sample corresponding to each textile printing and dyeing sample;
respectively carrying out washing fastness test on each first test subsamples corresponding to each textile printing and dyeing sample to obtain the color change level number of each first test subsamples corresponding to each textile printing and dyeing sample, and processing and analyzing the washing fastness level of each textile printing and dyeing sample;
respectively carrying out friction-resistant color fastness test on each second test subsamples corresponding to each textile printing and dyeing sample to obtain the staining grade number of each second test subsamples corresponding to each textile printing and dyeing sample, and processing and analyzing the friction-resistant color fastness grade of each textile printing and dyeing sample;
and respectively carrying out light fastness test on each third test subsamples corresponding to each textile printing and dyeing sample to obtain the color change level number of each third test subsamples corresponding to each textile printing and dyeing sample, and processing and analyzing the light fastness level of each textile printing and dyeing sample.
Preferably, the washing fastness grade, the rubbing fastness grade and the light fastness grade of each textile printing and dyeing sample are processed and analyzed in the following ways:
extracting the color-changing level number of each textile printing and dyeing sample corresponding to each first test subsample, and processing to obtain the color-changing level number of each textile printing and dyeing sample corresponding to the washing fastness
Figure BDA0003826965540000061
Wherein->
Figure BDA0003826965540000062
Color change progression corresponding to washing fastness of ith textile printing and dyeing sample, u is the number of first test subsamples and y i p r 1 Color change progression expressed as the i-th textile printed sample corresponding to the r-th first test subsample, r=1, 2,., u, r expressed as the number of the r-th first test subsample;
screening the washing fastness set weight corresponding to each textile printing and dyeing sample according to the preset washing fastness set weight corresponding to each color change level, comparing the washing fastness set weight corresponding to each textile printing and dyeing sample with the washing fastness set weight range corresponding to each preset washing fastness level, and screening the washing fastness level corresponding to each textile printing and dyeing sample;
and similarly, screening the friction-resistant color fastness grade and the light-resistant color fastness grade corresponding to each textile printing and dyeing sample according to the preset friction-resistant color fastness set weight corresponding to each staining grade and the preset light-resistant color fastness set weight corresponding to each staining grade.
Preferably, the color fastness analysis module of the textile printing and dyeing sample evaluates that the color fastness grade of each textile printing and dyeing sample accords with a proportionality coefficient, and specifically comprises the following steps:
extracting a set washing fastness grade, a set friction fastness grade and a set light fastness grade corresponding to a standard textile printing sample stored in a textile printing data storage library, comparing the washing fastness grade of each textile printing sample with the set washing fastness grade corresponding to the standard textile printing sample, if the washing fastness grade of a certain textile printing sample is greater than or equal to the set washing fastness grade corresponding to the standard textile printing sample, marking the washing fastness coincidence weight of the textile printing sample as lambda ', otherwise marking the washing fastness coincidence weight of the textile printing sample as lambda ', and counting the washing fastness coincidence weight lambda ' of each textile printing sample i And lambda is i =λ' or λ ";
similarly, the friction-resistant color fastness of each textile printing and dyeing sample is counted to accord with the weight gamma i And the light fastness of each textile printing sample accords with the weight
Figure BDA0003826965540000071
Evaluation of the color fastness grade of each textile printing sample to match the scaling factor
Figure BDA0003826965540000072
Wherein delta 1 、δ 2 、δ 3 Respectively representing that the preset textile washing fastness accords with the correction factor, the textile rubbing fastness accords with the correction factor and the textile light fastness accords with the correction factor.
Preferably, the printing production quality coefficient analysis formula of each textile printing sample in the printing equipment production qualification rate evaluation module is as follows
Figure BDA0003826965540000073
Wherein psi is i Printing quality expressed as i-th textile printing sampleThe coefficient, eta is expressed as a preset textile printing and dyeing production quality compensation factor, and e is expressed as a natural constant.
Preferably, the production qualification rate evaluation module of the printing and dyeing equipment evaluates the production qualification rate of the target printing and dyeing equipment, and specifically includes:
comparing the printing and dyeing production quality coefficient of each textile printing and dyeing sample with a preset textile printing and dyeing production quality coefficient threshold, if the printing and dyeing production quality coefficient of a certain textile printing and dyeing sample is greater than or equal to the preset textile printing and dyeing production quality coefficient threshold, marking the textile printing and dyeing sample as a qualified textile printing and dyeing sample, counting the number of qualified textile printing and dyeing samples corresponding to target printing and dyeing equipment, and marking the number as x Qualified product
Evaluating the production yield of target printing and dyeing equipment
Figure BDA0003826965540000081
And n is the number of the textile printing and dyeing samples, comparing the production qualification rate of the target printing and dyeing equipment with a preset production qualification rate threshold, and informing related personnel to regulate and control the target printing and dyeing equipment if the production qualification rate of the target printing and dyeing equipment is smaller than the preset production qualification rate threshold.
Compared with the prior art, the printing and dyeing equipment production data monitoring and analyzing system based on the Internet of things has the following beneficial effects:
according to the invention, the problem of waste of the textile fabric is effectively avoided by acquiring the textile dyeing samples of the target dyeing equipment in the dyeing process, the dyeing production cost of the dyeing equipment is greatly reduced, the color parameters of the textile dyeing samples corresponding to the surface subareas are monitored, the corresponding chromatic aberration proportion coefficient of the textile dyeing samples is analyzed, so that the subjectivity and the limitation of the traditional mode are broken, the multi-dimensional comparison evaluation of the textile fabric dyeing chromatic aberration is realized, the evaluation accuracy and the reliability of the textile fabric dyeing chromatic aberration are improved, the problem of overlarge dyeing color difference of the textile fabric in the same production batch is further avoided, the textile fabric dyeing quality of the dyeing equipment is improved, meanwhile, the washing fastness test, the rubbing fastness test and the light fastness test are carried out on the textile dyeing samples, the color fastness grade of the textile dyeing samples is evaluated to accord with the proportion coefficient, the intrinsic dyeing quality influence of the textile fabric can be accurately analyzed, the analysis error of the textile fabric quality in the later stage is reduced, and the dyeing quality of the textile fabric is further ensured to accord with the production standard.
According to the invention, the printing production quality coefficient of each textile printing sample is analyzed, the number of qualified textile printing samples corresponding to the target printing equipment is screened, the production qualification rate of the target printing equipment is evaluated, and corresponding regulation and control treatment is carried out after the comparison analysis, so that the hysteresis of textile fabric printing quality monitoring is eliminated, the timely regulation and control treatment of the printing equipment according to the monitoring result is realized, the production defective rate of the later-stage printing equipment is further reduced, and the safety guarantee is provided for the production economic benefit of a printing enterprise.
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In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings that are needed for the description of the embodiments will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and that other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
FIG. 1 is a diagram illustrating a system module connection according to the present invention.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present invention, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
Referring to fig. 1, the invention provides a printing and dyeing equipment production data monitoring and analyzing system based on the internet of things, which comprises a textile printing and dyeing sample acquisition module, a sample color parameter monitoring module, a sample color difference proportionality coefficient analyzing module, a textile printing and dyeing sample color fastness testing module, a textile printing and dyeing sample color fastness analyzing module, a printing and dyeing equipment production qualification rate evaluating module and a textile printing and dyeing data storage library.
The textile printing and dyeing sample acquisition module is respectively connected with the sample color parameter monitoring module and the textile printing and dyeing sample color fastness testing module, the sample color difference proportional coefficient analysis module is respectively connected with the sample color parameter monitoring module and the textile printing and dyeing data storage library, the textile printing and dyeing sample color fastness analysis module is respectively connected with the textile printing and dyeing sample color fastness testing module and the textile printing and dyeing data storage library, and the printing and dyeing equipment production qualification rate evaluation module is respectively connected with the sample color difference proportional coefficient analysis module and the textile printing and dyeing sample color fastness analysis module.
The textile printing and dyeing sample acquisition module is used for acquiring each textile printing and dyeing sample of the target printing and dyeing equipment in the printing and dyeing process, and sequentially numbering each textile printing and dyeing sample according to a set sequence to be 1, 2.
The sample color parameter monitoring module is used for dividing each textile printing and dyeing sample into each surface subarea according to an equal area dividing mode and monitoring color parameters of each textile printing and dyeing sample corresponding to each surface subarea, wherein the surface subarea comprises a front subarea and a back subarea.
Based on the above embodiment, the specific monitoring mode corresponding to the sample color parameter monitoring module is:
dividing the front surface area of each textile printing and dyeing sample into front surface subareas according to an equal area dividing mode, numbering each front surface subarea corresponding to each textile printing and dyeing sample in sequence according to an s-shaped arrangement sequence, dividing the back surface area of each textile printing and dyeing sample into back surface subareas, and the numbers of the back surface subareas and the front surface subareas are in one-to-one correspondence;
monitoring the central point positions of the front subregions corresponding to the textile printing and dyeing samples respectively through a color difference meter to obtain the color parameters of the front subregions corresponding to the textile printing and dyeing samples, and extracting the brightness of the color parameters of the front subregions corresponding to the textile printing and dyeing samples,Hue and chroma, respectively, are marked as L ij 、h ij 、c ij Where i=1, 2,..n, i is the number of the i-th textile print sample, j=1, 2,..m, j is the number of the j-th frontal sub-area;
and in the same way, the brightness, hue and chroma in the color parameters corresponding to the back sub-areas of each textile printing and dyeing sample are obtained through monitoring, and are respectively marked as L' ij 、h′ ij 、c′ ij
The sample color difference proportional coefficient analysis module is used for analyzing color parameters of the textile printing and dyeing samples corresponding to the surface subareas and analyzing color difference proportional coefficients of the textile printing and dyeing samples.
On the basis of the above embodiment, the analyzing, in the sample color difference scaling factor analyzing module, the color parameters of the textile printing and dyeing samples corresponding to the surface sub-areas specifically includes:
extracting the set brightness, the set hue and the set chroma of the standard textile printing and dyeing samples corresponding to each front sub-area and each back sub-area stored in the textile printing and dyeing data storage library, and analyzing the color difference deviation indexes of the standard textile printing and dyeing samples and the corresponding front sub-areas of the textile printing and dyeing samples
Figure BDA0003826965540000111
Wherein mu is expressed as a preset textile color difference compensation factor, L j mark 、h j mark 、c j mark Respectively expressed as the set brightness, the set hue and the set chroma, sigma of the j-th front subarea corresponding to the standard textile printing and dyeing sample L 、σ c 、σ h Representing the deviation positive weight coefficient delta E corresponding to preset brightness, chroma and hue 1 allow The allowable color difference deviation value is expressed as a preset textile printing and dyeing sample and a standard textile printing and dyeing sample; and in the same way, analyzing to obtain a color difference deviation index E 'of each textile printing and dyeing sample corresponding to each reverse side sub-region and the standard textile printing and dyeing sample' ij b 1
The color parameters of each textile printing and dyeing sample corresponding to each front subarea are matched with the color parameters of the corresponding adjacent front subareaAnalyzing the color difference deviation index E of each front subarea corresponding to each textile printing and dyeing sample and each adjacent front subarea corresponding to each front subarea ij a 2 And (3) analyzing the j=2, 3, and the m, and similarly, obtaining a color difference deviation index E 'of each back side subarea corresponding to each textile printing and dyeing sample and the corresponding adjacent back side subarea' ij b 2
Comparing the color parameters of each front sub-area corresponding to each textile printing and dyeing sample with the color parameters of each corresponding back sub-area, analyzing to obtain the color difference deviation index of each front sub-area corresponding to each textile printing and dyeing sample and the corresponding back sub-area, and marking the color difference deviation index as E' ij
Further, the color difference deviation index analysis formula of each textile printing and dyeing sample corresponding to each front subarea and each adjacent front subarea is that
Figure BDA0003826965540000121
Where j=2, 3,.. i(j-1) 、h i(j-1) 、c i(j-1) Respectively expressed as lightness, hue and chroma, delta E in the color parameters of the j-1 th front subarea corresponding to the ith textile printing and dyeing sample 2 allow The allowable color difference deviation value is expressed as a preset textile printing sample area and an adjacent textile printing sample area.
Further, the color difference deviation index analysis formula of each textile printing and dyeing sample corresponding to each front subarea and each corresponding back subarea is that
Figure BDA0003826965540000122
Wherein ΔE 3 allow The allowable color difference deviation value is expressed as a preset front area of the textile printing sample and a preset back area of the textile printing sample.
As a specific embodiment of the invention, the sample color difference proportional coefficient analysis module comprises the following color difference proportional coefficient analysis modes corresponding to each textile printing and dyeing sample:
the color difference deviation index E of each textile printing and dyeing sample corresponding to each front subregion and the standard textile printing and dyeing sample ij a 1 Each reverse side subregion and labelColor difference deviation index E 'of quasi-textile printing and dyeing sample' ij b 1 Color difference deviation index E of each front subarea and corresponding adjacent front subarea ij a 2 Color difference deviation index E 'of each reverse side subarea and corresponding adjacent reverse side subarea' ij b 2 And the color difference deviation index E' of each front subarea and the corresponding back subarea ij Substituted color difference proportional coefficient analysis formula
Figure BDA0003826965540000131
Obtaining the color difference proportional coefficient zeta corresponding to each textile printing and dyeing sample i Wherein alpha, beta and χ are respectively expressed as a set textile positive chromatic aberration correction influence factor, a textile negative chromatic aberration correction influence factor and a textile positive and negative chromatic aberration correction influence factor, m is expressed as the number of positive subareas and epsilon 1 、ε 2 Respectively expressed as a preset weight index of influence of color difference deviation of a textile printing sample and a standard textile printing sample, a weight index of influence of color difference deviation of a textile printing sample area and an adjacent textile printing sample area, and epsilon 12 =1。
The color fastness testing module of the textile printing and dyeing samples is used for carrying out washing fastness testing, rubbing fastness testing and light fastness testing on the textile printing and dyeing samples to obtain washing fastness grade, rubbing fastness grade and light fastness grade of the textile printing and dyeing samples.
Based on the above embodiment, the specific test mode corresponding to the textile printing and dyeing sample color fastness test module is as follows:
cutting each textile printing and dyeing sample into each test sub-sample according to the same area, and trisecting each test sub-sample corresponding to each textile printing and dyeing sample according to the number, and respectively marking the test sub-sample as each first test sub-sample, each second test sub-sample and each third test sub-sample corresponding to each textile printing and dyeing sample;
respectively carrying out washing fastness test on each first test subsamples corresponding to each textile printing and dyeing sample to obtain the color change level number of each first test subsamples corresponding to each textile printing and dyeing sample, and processing and analyzing the washing fastness level of each textile printing and dyeing sample;
respectively carrying out friction-resistant color fastness test on each second test subsamples corresponding to each textile printing and dyeing sample to obtain the staining grade number of each second test subsamples corresponding to each textile printing and dyeing sample, and processing and analyzing the friction-resistant color fastness grade of each textile printing and dyeing sample;
and respectively carrying out light fastness test on each third test subsamples corresponding to each textile printing and dyeing sample to obtain the color change level number of each third test subsamples corresponding to each textile printing and dyeing sample, and processing and analyzing the light fastness level of each textile printing and dyeing sample.
As a specific embodiment of the invention, the color-changing series test acquisition mode of each textile printing and dyeing sample corresponding to each first test subsample is as follows:
and respectively placing the first test subsamples corresponding to the textile printing samples into a washing fastness testing machine, performing washing tests of setting time, setting water temperature and setting soap liquid on the first test subsamples corresponding to the textile printing samples through the washing fastness testing machine, taking out the first test subsamples corresponding to the textile printing samples after the washing tests are finished, performing cleaning treatment and drying treatment on the first test subsamples corresponding to the textile printing samples after the washing tests are finished, collecting treatment images of the first test subsamples corresponding to the textile printing samples, comparing the treatment images of the first test subsamples corresponding to the textile printing samples with standard gray sample card images, and evaluating the color change level of the first test subsamples corresponding to the textile printing samples.
As a specific embodiment of the invention, the staining level test acquisition mode of each textile printing and dyeing sample corresponding to each second test subsample is as follows:
and carrying out humidification treatment on each textile printing and dyeing sample corresponding to each second test sub-sample, sequentially placing the textile printing and dyeing sample on a friction head of a friction-resistant color fastness testing machine, carrying out friction testing on each textile printing and dyeing sample corresponding to each second test sub-sample for a set number of times and a set distance through the friction head of the friction-resistant color fastness testing machine, collecting each textile printing and dyeing sample corresponding to each second test sub-sample image after the friction testing is finished, comparing each textile printing and dyeing sample corresponding to each second test sub-sample image with a standard gray sample card image, and evaluating the staining grade of each textile printing and dyeing sample corresponding to each second test sub-sample.
As a specific embodiment of the invention, the color-changing series test acquisition mode of each textile printing and dyeing sample corresponding to each third test subsample is as follows:
and vertically arranging the third test subsamples corresponding to the textile printing and dyeing samples on a sample frame of a light fastness instrument, carrying out exposure test on the third test subsamples corresponding to the textile printing and dyeing samples under set conditions and for set time through the light fastness instrument, collecting the third test subsample images corresponding to the textile printing and dyeing samples after the exposure test is finished, comparing the third test subsample images corresponding to the textile printing and dyeing samples with the standard gray sample images, and evaluating the color change level of the third test subsamples corresponding to the textile printing and dyeing samples.
Further, the washing fastness grade, the rubbing fastness grade and the light fastness grade of each textile printing and dyeing sample are processed and analyzed in the following modes:
extracting the color-changing level number of each textile printing and dyeing sample corresponding to each first test subsample, and processing to obtain the color-changing level number of each textile printing and dyeing sample corresponding to the washing fastness
Figure BDA0003826965540000161
Wherein->
Figure BDA0003826965540000162
Color change progression corresponding to washing fastness of ith textile printing and dyeing sample, u is the number of first test subsamples and y i p r 1 Color change progression expressed as the i-th textile printed sample corresponding to the r-th first test subsample, r=1, 2,., u, r expressed as the number of the r-th first test subsample;
extracting the washing fastness set weight corresponding to each color change level stored in the textile printing and dyeing data storage library, screening the washing fastness set weight corresponding to each textile printing and dyeing sample according to the color change level of the washing fastness corresponding to each textile printing and dyeing sample, comparing the washing fastness set weight corresponding to each textile printing and dyeing sample with a preset washing fastness set weight range corresponding to each washing fastness level, and screening the washing fastness level corresponding to each textile printing and dyeing sample;
and similarly, extracting the friction-resistant color fastness set weight corresponding to each staining grade and the light-resistant color fastness set weight corresponding to each color-changing grade stored in the textile printing and dyeing data storage library, and screening the friction-resistant color fastness grade and the light-resistant color fastness grade corresponding to each textile printing and dyeing sample.
The textile printing and dyeing sample color fastness analysis module is used for evaluating that the color fastness grade of each textile printing and dyeing sample accords with the proportionality coefficient according to the washing fastness grade, the friction fastness grade and the light fastness grade of each textile printing and dyeing sample.
On the basis of the above embodiment, the color fastness analysis module for evaluating the color fastness grade of each textile printing and dyeing sample accords with a proportionality coefficient specifically includes:
extracting a set washing fastness grade, a set friction fastness grade and a set light fastness grade corresponding to a standard textile printing sample stored in a textile printing data storage library, comparing the washing fastness grade of each textile printing sample with the set washing fastness grade corresponding to the standard textile printing sample, if the washing fastness grade of a certain textile printing sample is greater than or equal to the set washing fastness grade corresponding to the standard textile printing sample, marking the washing fastness coincidence weight of the textile printing sample as lambda ', otherwise marking the washing fastness coincidence weight of the textile printing sample as lambda ', and counting the washing fastness coincidence weight lambda ' of each textile printing sample i And lambda is i =λ' or λ ";
similarly, the friction-resistant color fastness of each textile printing and dyeing sample is counted to accord with the weight gamma i And the light fastness of each textile printing sample accords with the weight
Figure BDA0003826965540000171
Evaluation of the color fastness grade of each textile printing sample to match the scaling factor
Figure BDA0003826965540000172
Wherein delta 1 、δ 2 、δ 3 Respectively representing that the preset textile washing fastness accords with the correction factor, the textile rubbing fastness accords with the correction factor and the textile light fastness accords with the correction factor.
In the embodiment, the dyeing production cost of the dyeing equipment is greatly reduced by acquiring each textile dyeing sample of the target dyeing equipment in the dyeing process, the dyeing production cost of the dyeing equipment is greatly reduced, the color parameters of each textile dyeing sample corresponding to each surface subarea are monitored, and the corresponding chromatic aberration proportion coefficient of each textile dyeing sample is analyzed, so that subjectivity and limitation of the existing mode are broken, the multi-dimensional comparison evaluation of the textile dyeing chromatic aberration of the textile fabric is realized, the evaluation accuracy and reliability of the textile dyeing chromatic aberration of the textile fabric are improved, the problem of overlarge dyeing color difference of the textile fabric in the same production batch is further avoided, the textile fabric dyeing quality of the dyeing equipment is improved, meanwhile, the washing fastness test, the rubbing fastness test and the light fastness test are carried out on each textile dyeing sample, the color fastness grade of each textile dyeing sample is evaluated to be in accordance with the proportion coefficient, the internal dyeing quality influence of the textile fabric can be accurately analyzed, the analysis error of the textile dyeing quality in the later stage is reduced, and the dyeing quality of the textile fabric is further ensured to be in accordance with the production standard.
The printing and dyeing equipment production qualification rate evaluation module is used for analyzing the printing and dyeing production quality coefficient of each textile printing and dyeing sample, screening the number of qualified textile printing and dyeing samples corresponding to the target printing and dyeing equipment, evaluating the production qualification rate of the target printing and dyeing equipment, and carrying out corresponding regulation and control treatment after comparison and analysis.
On the basis of the embodiment, the printing production quality coefficient analysis formula of each textile printing sample in the printing equipment production qualification rate evaluation module is as follows
Figure BDA0003826965540000181
Wherein psi is i The printing production quality coefficient expressed as the ith textile printing sample, η is expressed as a preset textile printing production quality compensation factor, and e is expressed as a natural constant.
On the basis of the above embodiment, the process yield evaluation module for evaluating the process yield of the target printing and dyeing equipment specifically includes:
comparing the printing and dyeing production quality coefficient of each textile printing and dyeing sample with a preset textile printing and dyeing production quality coefficient threshold, if the printing and dyeing production quality coefficient of a certain textile printing and dyeing sample is greater than or equal to the preset textile printing and dyeing production quality coefficient threshold, marking the textile printing and dyeing sample as a qualified textile printing and dyeing sample, counting the number of qualified textile printing and dyeing samples corresponding to target printing and dyeing equipment, and marking the number as x Qualified product
Evaluating the production yield of target printing and dyeing equipment
Figure BDA0003826965540000182
And n is the number of the textile printing and dyeing samples, comparing the production qualification rate of the target printing and dyeing equipment with a preset production qualification rate threshold, and informing related personnel to regulate and control the target printing and dyeing equipment if the production qualification rate of the target printing and dyeing equipment is smaller than the preset production qualification rate threshold.
The textile printing and dyeing data storage library is used for storing the set brightness, the set hue and the set chroma of the standard textile printing and dyeing samples corresponding to the front subarea and the back subarea, storing the washing fastness set weight corresponding to the color changing stages, the rubbing fastness set weight corresponding to the color staining stages and the light fastness set weight corresponding to the color changing stages, and storing the set washing fastness grade, the rubbing fastness grade and the light fastness grade corresponding to the standard textile printing and dyeing samples.
In the embodiment, the printing production quality coefficient of each textile printing sample is analyzed, the number of qualified textile printing samples corresponding to the target printing equipment is screened, the production qualification rate of the target printing equipment is evaluated, and corresponding regulation and control treatment is carried out after the comparison analysis, so that the hysteresis of textile fabric printing quality monitoring is eliminated, the timely regulation and control treatment of the printing equipment according to the monitoring result is realized, the production defective rate of the later-stage printing equipment is further reduced, and the safety guarantee is provided for the production economic benefit of a printing enterprise.
The foregoing is merely illustrative and explanatory of the principles of the invention, as various modifications and additions may be made to the specific embodiments described, or similar thereto, by those skilled in the art, without departing from the principles of the invention or beyond the scope of the appended claims.

Claims (7)

1. Printing and dyeing equipment production data monitoring analysis system based on thing networking, characterized by comprising:
the system comprises a textile printing and dyeing sample acquisition module, a printing and dyeing sample analysis module and a printing and dyeing sample analysis module, wherein the textile printing and dyeing sample acquisition module is used for acquiring each textile printing and dyeing sample of target printing and dyeing equipment in the printing and dyeing process, and sequentially numbering each textile printing and dyeing sample according to a set sequence to be 1, 2.
The sample color parameter monitoring module is used for dividing each textile printing and dyeing sample into each surface subarea according to an equal area dividing mode and monitoring color parameters of each textile printing and dyeing sample corresponding to each surface subarea, wherein each surface subarea comprises a front subarea and a back subarea;
the sample color difference proportional coefficient analysis module is used for analyzing color parameters of the textile printing and dyeing samples corresponding to the surface subareas and analyzing color difference proportional coefficients of the textile printing and dyeing samples;
the color fastness testing module is used for carrying out washing fastness testing, rubbing fastness testing and light fastness testing on each textile printing and dyeing sample to obtain washing fastness grade, rubbing fastness grade and light fastness grade of each textile printing and dyeing sample;
the textile printing and dyeing sample color fastness analysis module is used for evaluating the color fastness grade of each textile printing and dyeing sample to accord with the proportionality coefficient according to the washing fastness grade, the friction fastness grade and the light fastness grade of each textile printing and dyeing sample;
the printing and dyeing equipment production qualification rate evaluation module is used for analyzing the printing and dyeing production quality coefficient of each textile printing and dyeing sample, screening the number of qualified textile printing and dyeing samples corresponding to the target printing and dyeing equipment, evaluating the production qualification rate of the target printing and dyeing equipment, and carrying out corresponding regulation and control treatment after comparison and analysis;
the textile printing and dyeing data storage library is used for storing the set brightness, the set hue and the set chroma of the standard textile printing and dyeing samples corresponding to the front subarea and the back subarea and storing the set washing fastness level, the set friction fastness level and the set light fastness level corresponding to the standard textile printing and dyeing samples;
the specific monitoring mode corresponding to the sample color parameter monitoring module is as follows:
dividing the front surface area of each textile printing and dyeing sample into front surface subareas according to an equal area dividing mode, numbering each front surface subarea corresponding to each textile printing and dyeing sample in sequence according to an s-shaped arrangement sequence, dividing the back surface area of each textile printing and dyeing sample into back surface subareas, and the numbers of the back surface subareas and the front surface subareas are in one-to-one correspondence;
monitoring the central point positions of the front subregions corresponding to the textile printing and dyeing samples respectively through a color difference meter to obtain the color parameters of the front subregions corresponding to the textile printing and dyeing samples, extracting the brightness, hue and chroma in the color parameters of the front subregions corresponding to the textile printing and dyeing samples, and marking the brightness, hue and chroma as L respectively ij 、h ij 、c ij Where i=1, 2,..n, i is the number of the i-th textile print sample, j=1, 2,..m, j is the number of the j-th frontal sub-area;
and in the same way, the brightness, hue and chroma in the color parameters corresponding to the back sub-areas of each textile printing and dyeing sample are obtained through monitoring, and are respectively marked as L' ij 、h′ ij 、c′ ij
The sample color difference proportional coefficient analysis module analyzes color parameters of each textile printing and dyeing sample corresponding to each surface subarea, and specifically comprises the following steps:
extracting the set brightness, the set hue and the set chroma of the standard textile printing and dyeing samples corresponding to each front sub-area and each back sub-area stored in the textile printing and dyeing data storage library, and analyzing the color difference deviation indexes of the standard textile printing and dyeing samples and the corresponding front sub-areas of the textile printing and dyeing samples
Figure QLYQS_1
Wherein mu is expressed as a preset textile color difference compensation factor, L j mark 、h j mark 、c j mark Respectively expressed as the set brightness, the set hue and the set chroma, sigma of the j-th front subarea corresponding to the standard textile printing and dyeing sample L 、σ c 、σ h Representing the deviation positive weight coefficient delta E corresponding to preset brightness, chroma and hue 1 allow The allowable color difference deviation value is expressed as a preset textile printing and dyeing sample and a standard textile printing and dyeing sample; and in the same way, analyzing to obtain a color difference deviation index E 'of each textile printing and dyeing sample corresponding to each reverse side sub-region and the standard textile printing and dyeing sample' ij b 1
Comparing the color parameters of the front subareas corresponding to the textile printing and dyeing samples with the color parameters of the adjacent front subareas corresponding to the front subareas, and analyzing the color difference deviation index E of the front subareas corresponding to the textile printing and dyeing samples and the adjacent front subareas corresponding to the front subareas ij a 2 And (3) analyzing the j=2, 3, and the m, and similarly, obtaining a color difference deviation index E 'of each back side subarea corresponding to each textile printing and dyeing sample and the corresponding adjacent back side subarea' ij b 2
Comparing the color parameters of each front sub-area corresponding to each textile printing and dyeing sample with the color parameters of each corresponding back sub-area, analyzing to obtain the color difference deviation index of each front sub-area corresponding to each textile printing and dyeing sample and the corresponding back sub-area, and marking the color difference deviation index as E '' ij
2. The printing and dyeing equipment production data monitoring and analyzing system based on the internet of things according to claim 1, wherein the system is characterized in that: the color difference proportional coefficient analysis mode corresponding to each textile printing and dyeing sample in the sample color difference proportional coefficient analysis module is as follows:
according to the color difference proportionality coefficient analysis formula
Figure QLYQS_2
Obtaining the color difference proportional coefficient xi corresponding to each textile printing and dyeing sample i Wherein alpha, beta and χ are respectively expressed as a set textile positive chromatic aberration correction influence factor, a textile negative chromatic aberration correction influence factor and a textile positive and negative chromatic aberration correction influence factor, m is expressed as the number of positive subareas and epsilon 1 、ε 2 Respectively expressed as a preset weight index of influence of color difference deviation of a textile printing sample and a standard textile printing sample, a weight index of influence of color difference deviation of a textile printing sample area and an adjacent textile printing sample area, and epsilon 12 =1。
3. The printing and dyeing equipment production data monitoring and analyzing system based on the internet of things according to claim 2, wherein: the specific test mode corresponding to the textile printing and dyeing sample color fastness test module is as follows:
cutting each textile printing and dyeing sample into each test sub-sample according to the same area, and trisecting each test sub-sample corresponding to each textile printing and dyeing sample according to the number, and respectively marking the test sub-sample as each first test sub-sample, each second test sub-sample and each third test sub-sample corresponding to each textile printing and dyeing sample;
respectively carrying out washing fastness test on each first test subsamples corresponding to each textile printing and dyeing sample to obtain the color change level number of each first test subsamples corresponding to each textile printing and dyeing sample, and processing and analyzing the washing fastness level of each textile printing and dyeing sample;
respectively carrying out friction-resistant color fastness test on each second test subsamples corresponding to each textile printing and dyeing sample to obtain the staining grade number of each second test subsamples corresponding to each textile printing and dyeing sample, and processing and analyzing the friction-resistant color fastness grade of each textile printing and dyeing sample;
and respectively carrying out light fastness test on each third test subsamples corresponding to each textile printing and dyeing sample to obtain the color change level number of each third test subsamples corresponding to each textile printing and dyeing sample, and processing and analyzing the light fastness level of each textile printing and dyeing sample.
4. A printing and dyeing equipment production data monitoring and analyzing system based on the internet of things according to claim 3, wherein: the washing fastness grade, the friction fastness grade and the light fastness grade of each textile printing and dyeing sample are processed and analyzed in the following modes:
extracting the color-changing level number of each textile printing and dyeing sample corresponding to each first test subsample, and processing to obtain the color-changing level number of each textile printing and dyeing sample corresponding to the washing fastness
Figure QLYQS_3
Wherein->
Figure QLYQS_4
Color change progression corresponding to washing fastness of ith textile printing and dyeing sample, u is the number of first test subsamples and y i p r 1 Color change progression expressed as the i-th textile printed sample corresponding to the r-th first test subsample, r=1, 2,., u, r expressed as the number of the r-th first test subsample;
screening the washing fastness set weight corresponding to each textile printing and dyeing sample according to the preset washing fastness set weight corresponding to each color change level, comparing the washing fastness set weight corresponding to each textile printing and dyeing sample with the washing fastness set weight range corresponding to each preset washing fastness level, and screening the washing fastness level corresponding to each textile printing and dyeing sample;
and similarly, screening the friction-resistant color fastness grade and the light-resistant color fastness grade corresponding to each textile printing and dyeing sample according to the preset friction-resistant color fastness set weight corresponding to each staining grade and the preset light-resistant color fastness set weight corresponding to each staining grade.
5. A printing and dyeing equipment production data monitoring and analyzing system based on the internet of things according to claim 3, wherein: the color fastness analysis module for the textile printing and dyeing samples evaluates that the color fastness grade of each textile printing and dyeing sample accords with a proportionality coefficient, and specifically comprises the following steps:
extracting a set washing fastness grade, a set friction fastness grade and a set light fastness grade corresponding to a standard textile printing sample stored in a textile printing data storage library, comparing the washing fastness grade of each textile printing sample with the set washing fastness grade corresponding to the standard textile printing sample, if the washing fastness grade of a certain textile printing sample is greater than or equal to the set washing fastness grade corresponding to the standard textile printing sample, marking the washing fastness coincidence weight of the textile printing sample as lambda ', otherwise marking the washing fastness coincidence weight of the textile printing sample as lambda ', and counting the washing fastness coincidence weight lambda ' of each textile printing sample i And lambda is i =λ' or λ ";
similarly, the friction-resistant color fastness of each textile printing and dyeing sample is counted to accord with the weight gamma i And the light fastness of each textile printing sample accords with the weight
Figure QLYQS_5
Evaluation of the color fastness grade of each textile printing sample to match the scaling factor
Figure QLYQS_6
Wherein delta 1 、δ 2 、δ 3 Respectively representing that the preset textile washing fastness accords with the correction factor, the textile rubbing fastness accords with the correction factor and the textile light fastness accords with the correction factor.
6. The printing and dyeing equipment production data monitoring and analyzing system based on the internet of things according to claim 5, wherein the system is characterized in that: in the production qualification rate evaluation module of the printing and dyeing equipmentThe analytical formula of the printing and dyeing production quality coefficient of each textile printing and dyeing sample is as follows
Figure QLYQS_7
Wherein psi is i The printing production quality coefficient expressed as the ith textile printing sample, η is expressed as a preset textile printing production quality compensation factor, and e is expressed as a natural constant.
7. The printing and dyeing equipment production data monitoring and analyzing system based on the internet of things according to claim 6, wherein the system is characterized in that: the production qualification rate evaluation module of the printing and dyeing equipment evaluates the production qualification rate of target printing and dyeing equipment and specifically comprises the following steps:
comparing the printing and dyeing production quality coefficient of each textile printing and dyeing sample with a preset textile printing and dyeing production quality coefficient threshold, if the printing and dyeing production quality coefficient of a certain textile printing and dyeing sample is greater than or equal to the preset textile printing and dyeing production quality coefficient threshold, marking the textile printing and dyeing sample as a qualified textile printing and dyeing sample, counting the number of qualified textile printing and dyeing samples corresponding to target printing and dyeing equipment, and marking the number as x Qualified product
Evaluating the production yield of target printing and dyeing equipment
Figure QLYQS_8
And n is the number of the textile printing and dyeing samples, comparing the production qualification rate of the target printing and dyeing equipment with a preset production qualification rate threshold, and informing related personnel to regulate and control the target printing and dyeing equipment if the production qualification rate of the target printing and dyeing equipment is smaller than the preset production qualification rate threshold. />
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